Analytics at Runpod sits within Data & AI and serves as a strategic partner across the company. The team supports five core areas: marketing and PR; infrastructure and pricing; product; security; and sales. From acquisition and campaign performance to GPU-hour economics, product adoption, fraud detection, and revenue analytics, the team turns Runpod’s rich operational data into decisions. This role will lead the established analytics function through its next stage of growth, determining how to staff, sequence, and scale coverage across the business while moving the team from answering questions to helping define the questions Runpod should be asking.
As Head of Analytics and Business Intelligence, you will lead and grow Runpod’s analytics function, owning how the company measures itself and how insights reach decision-makers. You will manage a team of analysts and BI practitioners, set the analytics roadmap, and act as the senior analytics partner to Product, Supply, Finance, Engineering, Security, and Go-to-Market leadership.
Runpod’s business is consumption-based and marketplace-shaped, which makes analytics genuinely complex. Demand-side revenue depends on GPU-hour utilization and workload mix across Pods, Serverless, and Instant Clusters, while supply-side economics depend on host behavior, capacity, and pricing. You will build the metric definitions, models, and self-serve layer that allow the company to reason about these dynamics consistently. Our analytics stack includes dbt and Dagster for transformation, Snowflake underneath, and Mode as our BI tool.
You will shape how Runpod uses data to make company-level decisions. You’ll have the opportunity to define the metrics that matter, proactively identify business opportunities, build a scalable analytics operating model, and translate complex data into clear recommendations for executives and the board. Success means creating an analytics function that not only responds to the business, but helps lead it.